NDLI: Blind estimation of fMRI data for improved BOLD contrast detection

Content Provider	IEEE Xplore Digital Library
Author	Atkinson, I. Kamalabadi, F. Jones, D.L. Thulborn, K.R.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL (Atkinson, I.; Kamalabadi, F.; Jones, D.L.)
Abstract	Variations due to noise about the baseline MR signal make detection of BOLD contrast in fMRI data difficult for voxels with weak activation. We present a new wavelet- and Fourier-based estimation technique that improves the ability of a t-test to detect BOLD contrast in fMRI data. Our scheme approximates the optimal linear estimator for an fMRI dataset using a 3-D discrete wavelet transform to decorrelate in space and the discrete Fourier transform to decorrelate in time. In contrast to the optimal estimator, which is useful only in theory as it requires second-order signal and noise statistics, the proposed technique is able to achieve blind estimation of fMRI data. Applying this estimator to fMRI data improves the ability to correctly detect BOLD contrast, especially for voxels with contrast levels between 1% and 2%. In addition, the proposed method produces increased confidence (lower p-value) in active voxels of both synthetic and experimental fMRI data (compared to an unestimated version of the same voxels)
Starting Page	1056
Ending Page	1059
File Size	245207
Page Count	4
File Format	PDF
ISBN	078039576X
DOI	10.1109/ISBI.2006.1625103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Statistical analysis Signal detection Discrete wavelet transforms Discrete Fourier transforms Decorrelation Error correction Noise reduction Data engineering Magnetic resonance
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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